Longitudinal Data Analysis Using Structural Equation Models
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More About This Title Longitudinal Data Analysis Using Structural Equation Models

English

Longitudinal data are difficult to collect and difficult to analyze. Structural Equation Modeling (SEM) is a valuable way to analyze longitudinal data because it is both flexible and useful for answering common research questions. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models.

English

ible and useful for answering common research questions. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models.

English

“An excellent resource for graduate students and researchers.” – Doody’s Review Service
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